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Remote Data Infrastructure Jobs (NOW HIRING)

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · Remote

$65.25 - $84/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Data Infrastructure Architect

Mountain View, CA · On-site +1

$75.25 - $96.75/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

campus4tech

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies * Proven ability to design and implement scalable data solutions * Familiarity with data governance ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of ... Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark) Data Infrastructure ...

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

We are actively seeking an experienced Data Center Engineer for our Infrastructure Reliability team ... Communicate and coordinate with remote hands in remote data centers, providing technical direction ...

Redfish Recruiting

Staff Data Engineer

Staff Data Engineer Remote (U.S.) Our client is a growth-stage, NYC-headquartered FinTech company ... The Data Infrastructure team is dedicated to building a scalable, modern data platform to support ...

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Remote Data Infrastructure information

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.
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The top searched job categories for Remote Data Infrastructure jobs are:

Remote Data Infrastructure jobs near you
Infographic showing various Remote Data Infrastructure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Infrastructure Architect

Sequoia Connect

Mountain View, CA • Remote

$65.25 - $84/hr

Full-time

Posted 10 days ago

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Data Infrastructure Architect:

The Challenge (Responsibilities)

  • Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue, EMR, Lambda, and Step Functions.
  • Define data storage, transformation, and access patterns across S3, Redshift, Athena, RDS, and DynamoDB.
  • Design event-driven and integration solutions using SNS, SQS, Kinesis, and APIs.
  • Establish standards for data quality, observability, monitoring, logging, and failure recovery.
  • Optimize data processing, storage, and query performance across AWS platforms.
  • Lead troubleshooting of production issues and drive root cause analysis and corrective actions.
  • Support cloud migration, data migration, and modernization initiatives.
  • Review solution designs, code quality, and production readiness across projects.
  • Collaborate with architects, platform teams, and business stakeholders to align technical solutions with business needs.
  • Drive best practices for CI/CD, deployment automation, and documentation.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 12+ years of software development experience with a solid IT background.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Advanced knowledge of AWS services and architecture.
  • Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.
  • Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.
  • Strong understanding of enterprise data architecture, migration, and support models.
  • Experience with GitLab and Terraform and release/deployment practices.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Experience with Kinesis, ECS, Batch, Beanstalk, and DynamoDB.
  • Exposure to infrastructure-as-code and reusable platform patterns.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • None specified.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Keywords:
AWS, Python, PySpark, Data Pipelines, ETL
Requirements:
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Advanced knowledge of AWS services and architecture.
  • Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.
  • Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.
  • Strong understanding of enterprise data architecture, migration, and support models.
  • Experience with GitLab and Terraform and release/deployment practices.